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PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? [article]

Arnaud Huaulmé, Kanako Harada, Quang-Minh Nguyen, Bogyu Park, Seungbum Hong, Min-Kook Choi, Michael Peven, Yunshuang Li, Yonghao Long, Qi Dou, Satyadwyoom Kumar, Seenivasan Lalithkumar (+7 others)
2022 arXiv   pre-print
The PETRAW challenge provided a data set of 150 peg transfer sequences performed on a virtual simulator.  ...  This paper presents the design and results of the "PEg TRAnsfert Workflow recognition" (PETRAW) challenge whose objective was to develop surgical workflow recognition methods based on one or several modalities  ...  Acknowledgements Authors thanks IRT b<>com for providing the "Surgery Workflow Toolbox [annotate]" software, used for this work.  ... 
arXiv:2202.05821v2 fatcat:4raf6djqbncalj3i5ew2e7fa54

Pattern Recognition on Fashion Imagery

Stefanos Papadopoulos, Martina Pugliese, Manjunath Sudheer, Delphine Rabiller, Christos Koutlis, Symeon Papadopoulos, Elisavet Chatzilari, Thomas De Wilde
2021 Zenodo  
The workflow in all supervised multi-class experiments consisted of the following steps.  ...  Cross-modal Vector Alignment for Image-Text pairs Both OpenAI's CLIP and Google's ALIGN follow a similar workflow that requires one Image Encoder, one Textual Encoder and for both to be trained simultaneously  ... 
doi:10.5281/zenodo.5566459 fatcat:wmb67uoc5jgnllq3w374cf3fsa

Endoscopic Vision Challenge 2021 [article]

Stefanie Speidel, Lena Maier-Hein, Danail Stoyanov, Sebastian Bodenstedt, Martin Wagner, Beat Müller, Jonathan Chen, Benjamin Müller, Franziska Mathis-Ullrich, Paul Scheikl, Jorge Bernal, Aymeric Histache (+18 others)
2021 Zenodo  
Algorithms that have been reported for such images include 3D surface reconstruction, salient feature motion tracking, instrument detection or activity recognition.  ...  As a vision CAI challenge at MICCAI, our aim is to provide a formal framework for evaluating the current state of the art, gather researchers in the field and provide high quality data with protocols for  ...  The "PEg TRAnsfer Workflow recognition by different modalities" (PETRAW) sub-challenge provides a unique dataset for online automatic recognition of surgical workflow of a peg transfer training session  ... 
doi:10.5281/zenodo.4572973 fatcat:njsq4tsqd5brte56zclucdh7su

Correlated Multimodal Imaging in Life Sciences: Expanding the Biomedical Horizon

Andreas Walter, Perrine Paul-Gilloteaux, Birgit Plochberger, Ludek Sefc, Paul Verkade, Julia G. Mannheim, Paul Slezak, Angelika Unterhuber, Martina Marchetti-Deschmann, Manfred Ogris, Katja Bühler, Dror Fixler (+5 others)
2020 Frontiers in Physics  
challenges for its routine use in biomedical research: (1) Sample handling and preparation procedures that are compatible across modalities without compromising data quality, (2) soft-and hardware solutions  ...  volumetric image data including reconstruction, segmentation and visualization.  ...  With the increasing integration of super-resolution FM technologies into CLEM workflows, this precision is most likely to improve. This does however warrant a remark.  ... 
doi:10.3389/fphy.2020.00047 fatcat:ncyaxrt6ijgubp6sdgujyoq6yi

Cognitive simulators for medical education and training

Kanav Kahol, Mithra Vankipuram, Marshall L. Smith
2009 Journal of Biomedical Informatics  
These simulators provide psychomotor skill training and offer the additional challenge of accomplishing cognitive tasks in realistic environments.  ...  In intermodal transfer, information provided by one modality is employed or processed by another modality.  ...  It may be noted that the simulation does not allow placement of the ring on a wrong peg and the user must continue until the correct peg is Fig. 2.  ... 
doi:10.1016/j.jbi.2009.02.008 pmid:19269350 fatcat:4az5tjzthrewnhmh24lw4fgkli

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning [article]

Paul Pu Liang, Yiwei Lyu, Xiang Fan, Zetian Wu, Yun Cheng, Jason Wu, Leslie Chen, Peter Wu, Michelle A. Lee, Yuke Zhu, Ruslan Salakhutdinov, Louis-Philippe Morency
2021 arXiv   pre-print
modalities.  ...  Simply applying methods proposed in different research areas can improve the state-of-the-art performance on 9/15 datasets.  ...  This is especially true for imperfections in the image modality. We believe that multimodal models are able to successfully rely on the other modality when one is  ... 
arXiv:2107.07502v2 fatcat:ls47dr7lpfhkbfry4r6dtqjtua

Surgical Data Science - from Concepts toward Clinical Translation

Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park (+39 others)
2021 Medical Image Analysis  
Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional healthcare through the capture, organization, analysis and modeling of data.  ...  currently available SDS products and the translational progress from academia and (5) a roadmap for faster clinical translation and exploitation of the full potential of SDS, based on an international multi-round  ...  It has also been used to collect data for Endoscopic Vision challenges (e.g. EndoVis-Workflow; EndoVis-Workflow and Skill; EndoVis-ROBUST-MIS).  ... 
doi:10.1016/j.media.2021.102306 pmid:34879287 pmcid:PMC9135051 fatcat:4n27fogyqndghlc2e54h7uohgq

A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges [article]

Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, Abbas Rahimi
2022 arXiv   pre-print
this survey covered foundational aspects of the area, such as historical context leading to the development of HDC/VSA, key elements of any HDC/VSA model, known HDC/VSA models, and transforming input data  ...  APNNs have a multi-module, multi-level, and multi-modal design.  ...  memory Multi-modal signals TABLE 14 : 14 HDC/VSA studies classifying multi-modal signals Ref.  ... 
arXiv:2112.15424v2 fatcat:uteoq33hgna2fhs2o46rkde2iq

Surgical Data Science – from Concepts toward Clinical Translation [article]

Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park (+38 others)
2021 arXiv   pre-print
Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional healthcare through the capture, organization, analysis and modeling of data.  ...  currently available SDS products and the translational progress from academia and (5) a roadmap for faster clinical translation and exploitation of the full potential of SDS, based on an international multi-round  ...  Goals How to improve knowledge transfer among different stakeholders?  ... 
arXiv:2011.02284v2 fatcat:i5mq42uevjfxjmji5xdap3kgse

Janus particles: recent advances in the biomedical applications

Tu C Le, Jiali Zhai, Wei-Hsun Chiu, Phong A Tran, Nhiem Tran
2019 International Journal of Nanomedicine  
Challenges and future opportunities for these particles will also be discussed.  ...  This may result in synergistic actions of combined therapies and multi-level targeting not possible in isotropic systems.  ...  A few studies have utilized the CT and PA imaging capabilities of gold and MRI contrast enhancement of iron oxide to create multi-modal imaging Janus NPs. 20, 65, 93, 94 For example, Reguera et al reported  ... 
doi:10.2147/ijn.s169030 pmid:31692550 pmcid:PMC6711559 fatcat:iu7ugaxi5rda7kexsoqmh7iaje

Big–deep–smart data in imaging for guiding materials design

Sergei V. Kalinin, Bobby G. Sumpter, Richard K. Archibald
2015 Nature Materials  
Beginning with a communication matrix that indicates how much data each process transferred to every other process during the application's run, we use an automated search to recognize communication patterns  ...  Using a technique similar to astronomy's "sky subtraction," when we recognize a pattern we remove it from the matrix and apply our recognition approach recursively to the resulting matrix.  ...  BEAM users will be able to directly utilize DOE HPC compute and data resources to efficiently integrate and analyze complex multi-modal data with no previous experience as a computer programmer or HPC  ... 
doi:10.1038/nmat4395 pmid:26395941 fatcat:4tplfahj4reilnl6dwgbspgvaa

Symbiotic human-robot collaborative assembly

L. Wang, R. Gao, J. Váncza, J. Krüger, X.V. Wang, S. Makris, G. Chryssolouris
2019 CIRP annals  
In response to this need, multi-modal yet symbiotic communication and control methods have been a focus in recent years.  ...  These methods include voice processing, gesture recognition, haptic interaction, and brainwave perception. Deep learning is used for classification, recognition and context awareness identification.  ...  KF and multi-sensor optimal information fusion algorithm (MOIFA) were investigated in the research to improve accuracy.  ... 
doi:10.1016/j.cirp.2019.05.002 fatcat:5tykgsgqcrhbrmdv4mft3buloe

Creating CRISPR-responsive smart materials for diagnostics and programmable cargo release

Raphael V. Gayet, Helena de Puig, Max A. English, Luis R. Soenksen, Peter Q. Nguyen, Angelo S. Mao, Nicolaas M. Angenent-Mari, James J. Collins
2020 Nature Protocols  
This approach improves on the sensitivity of current DNA-responsive materials while enabling their rapid repurposing toward new sequence targets.  ...  Following the initial validation of the gRNA and Cas12a components (1 d), the synthesis and testing of either PEG-DNA or PA-DNA hydrogels require 3-4 d of laboratory time.  ...  recognition from the gel properties can prove challenging.  ... 
doi:10.1038/s41596-020-0367-8 pmid:32807909 fatcat:zux34saxsbfw5b2a7dg533q44q

Roadmap to Clinical Use of Gold Nanoparticles for Radiation Sensitization

Jan Schuemann, Ross Berbeco, Devika B. Chithrani, Sang Hyun Cho, Rajiv Kumar, Stephen J. McMahon, Srinivas Sridhar, Sunil Krishnan
2016 International Journal of Radiation Oncology, Biology, Physics  
One of the key challenges in this area is the wide range of experimental systems that have been investigated, spanning a range of particle sizes, shapes and preparations.  ...  While the EPR effect does improve the reach of these agents for tumors with leaky blood vessels, relying on passive diffusion to provide a homogenous distribution is challenging.  ...  Further, the degradation of the PEG coating from the GNP surface may lead to renal clearance, however, the human body does not have enzymes to effectively degrade larger PEGs.  ... 
doi:10.1016/j.ijrobp.2015.09.032 pmid:26700713 pmcid:PMC4692194 fatcat:4vd2e27xircphlqz4zgj3kr6qm

Application of evolutionary algorithms to optimise one- and two-dimensional gradient chromatographic separations

Bram Huygens, Kyriakos Efthymiadis, Ann Nowé, Gert Desmet
2020 Journal of Chromatography A  
We report on the performance of three classes of evolutionary algorithms (genetic algorithms (GA), evolution strategies (ES) and covariance matrix adaptation evolution strategy (CMA-ES)) as a means to  ...  Additionally, some characterisation is presented for Tween®20, a multi chain PEG-based polymer.  ...  For many of these compounds, sensitivity improvements have been reported with UniSpray compared to ESI.  ... 
doi:10.1016/j.chroma.2020.461435 pmid:32822975 fatcat:43gcy57envdgnaywtb6zinhqoi
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